Heinrich M. Jaeger
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Articles (10)
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Designing robotic systems that can change their physical form factor as well as their compliance to adapt to environmental constraints remains a major conceptual and technical challenge. To address this, we introduce the Granulobot, a modular system that blurs the distinction between soft, modular, and swarm robotics. The system consists of gear-like units that each contain a single actuator such that units can self-assemble into larger, granular aggregates using magnetic coupling. These aggregates can reconfigure dynamically and also split into subsystems that might later recombine. Aggregates can self-organize into collective states with solid- and liquid-like properties, thus displaying widely differing compliance. These states can be perturbed locally via actuators or externally via mechanical feedback from the environment to produce adaptive shape-shifting in a decentralized manner. This, in turn, can generate locomotion strategies adapted to different conditions. Aggregates can move over obstacles without using external sensors or coordinates to maintain a steady gait over different surfaces without electronic communication among units. The modular design highlights a physical, morphological form of control that advances the development of resilient robotic systems with the ability to morph and adapt to different functions and conditions.
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Collaborators (6)
Melody Xuan Lim
Cornell University
Chuqiao Chen
University of California, Santa Barbara
M. Olvera de la Cruz
-
Kevin Mitchell
Professor
University of California Merced
Stuart Rowan
Barry L MacLean Professor
University of Chicago
Thomas Witten
University of Chicago
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